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001449898 001__ 1449898
001449898 003__ OCoLC
001449898 005__ 20230310004424.0
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001449898 008__ 220928s2022\\\\si\a\\\\ob\\\\000\0\eng\d
001449898 019__ $$a1345581788$$a1345589707
001449898 020__ $$a9789811935480$$q(electronic bk.)
001449898 020__ $$a9811935483$$q(electronic bk.)
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001449898 0247_ $$a10.1007/978-981-19-3548-0$$2doi
001449898 035__ $$aSP(OCoLC)1346157977
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001449898 050_4 $$aHB3651
001449898 08204 $$a304.60952$$223/eng/20220928
001449898 1001_ $$aOizumi, Ryo,$$eauthor.
001449898 24510 $$aPopulation dynamics based on individual stochasticity /$$cRyo Oizumi.
001449898 264_1 $$aSingapore :$$bSpringer,$$c2022.
001449898 300__ $$a1 online resource :$$billustrations (black and white, and color).
001449898 336__ $$atext$$btxt$$2rdacontent
001449898 337__ $$acomputer$$bc$$2rdamedia
001449898 338__ $$aonline resource$$bcr$$2rdacarrier
001449898 4901_ $$aSpringerBriefs in population studies
001449898 4901_ $$aPopulation studies of Japan
001449898 504__ $$aIncludes bibliographical references.
001449898 5050_ $$aIntroduction : Stochasticity in Demography -- 1. Deterministic and Stochastic Population Models -- 2. Linear Structured Population based on SDE -- 3. Nonlinear Structured Population Models -- 4. Life-History Evolution and Adaptive Stochastic Controls -- 5 Application to External Stochasticity -- Epilogue: Population Dynamics from Perspective of Individual Diversity.
001449898 506__ $$aAccess limited to authorized users.
001449898 520__ $$aThis book demonstrates that population structure and dynamics can be reconstructed by stochastic analysis. Population projection is usually based on age-structured population models. These models consist of age-dependent fertility and mortality, whereas birth and death processes generally arise from states of individuals. For example, a number of seeds are proportional to tree size, and amount of income and savings are the basis of decision making for birth behavior in human beings. Thus, even though individuals belong to an identical cohort, they have different fertility and mortality. To treat this kind of individual heterogeneity, stochastic state transitions are reasonable rather than the deterministic states. This book extends deterministic systems to stochastic systems specifically, constructing a state transition model represented by stochastic differential equations. The diffusion process generated by stochastic differential equations provides statistics determining population dynamics, i.e., heterogeneity is incorporated in population dynamics as its statistics. Applying this perspective to demography and evolutionary biology, we can consider the role of heterogeneity in life history or evolution. These concepts are provided to readers with explanations of stochastic analysis.
001449898 588__ $$aDescription based on print version record.
001449898 650_0 $$aStochastic analysis.
001449898 651_0 $$aJapan$$xPopulation.
001449898 655_0 $$aElectronic books.
001449898 77608 $$iPrint version:$$aOizumi, Ryo.$$tPopulation dynamics based on individual stochasticity.$$dSingapore : Springer Nature Singapore, 2022$$z9789811935473$$w(OCoLC)1338674408
001449898 830_0 $$aSpringerBriefs in population studies.
001449898 830_0 $$aPopulation studies of Japan.
001449898 852__ $$bebk
001449898 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-3548-0$$zOnline Access$$91397441.1
001449898 909CO $$ooai:library.usi.edu:1449898$$pGLOBAL_SET
001449898 980__ $$aBIB
001449898 980__ $$aEBOOK
001449898 982__ $$aEbook
001449898 983__ $$aOnline
001449898 994__ $$a92$$bISE